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Wiley Randomization in Clinical Trials: Theory and Practice: 430 (Wiley Series in Probability and Statistics)

Name: Randomization in Clinical Trials: Theory and Practice: 430 (Wiley Series in Probability and Statistics)
Brand: Wiley
Price: 110.0 GBP
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Alternative Medicine

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Description

A unique overview that melds the concepts of conditional probability and stochastic processes into real-life applications The role of randomization techniques in clinical trials has become increasingly important. This comprehensive guide combines both the applied aspects of randomization in clinical trials with a probabilistic treatment of properties of randomization. Taking an unabashedly non-Bayesian and nonparametric approach to inference, the book focuses on the linear rank test under a randomization model, with added discussion on likelihood-based inference as it relates to sufficiency and ancillarity. Developments in stochastic processes and applied probability are also given where appropriate. Intuition is stressed over mathematics, but not without a clear development of the latter in the context of the former. Providing a consolidated review of the field, the book includes relevant and practical discussions of: The benefits of randomization in terms of reduction of bias Randomization as a basis for inference Covariate-adaptive and response-adaptive randomization Current philosophies, controversies, and new developments With ample problem sets, theoretical exercises, and short computer simulations using SAS, Randomization in Clinical Trials: Theory and Practice is equally useful as a standard textbook in biostatistics graduate programs as well as a reliable reference for biostatisticians in practice.

Product Specifications

Brand: Wiley
Colour: Blue
Format: Hardcover
ASIN: 0471236268
Category: Books > Subjects > Health, Family & Lifestyle > Alternative Medicine
Domain: Amazon UK
Release Date: 30 July 2002
Listed Since: 09 February 2007

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Wiley Randomization in Clinical Trials: Theory and Practice: 430 (Wiley Series in Probability and Statistics)

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